Intern, Power Modeling

What You’ll Learn

• Project: Scalable high-performance computing R&D – power modeling
• Skills You’ll Learn
  • System-on-chip architecture
  • Micro-architecture
  • Power modeling and analysis

What You’ll Do

• Analyze power consumption in various components of large scale HPC and AI systems
• Develop system-level architectural and micro-architectural level power models.
• Do workload specific energy analysis for HPC and AI applications, perform what-if analysis of energy and performance tradeoff for architectural study.
• Construct SOC-level and IP-level power models
• Develop scripts to facilitate power analysis and data processing for power-related SOC design flow
• Contribute to workload-specific power analysis at the SOC and IP levels for large-scale HPC and AI systems
• Complete other responsibilities as assigned.

Location: Hybrid, working onsite at our San Jose, CA headquarters 3 days per week, with the flexibility to work remotely the remainder of your time 

What You Bring

• Senior level currently pursuing Bachelor’s degree or Master's degree in Computer Science, Computer Engineering, or Electrical Engineering
• Proficiency in Python programming from developing framework to building the full application
• Strong hands-on experience in SOC design, especially power design, modeling, and analysis.
• Experience in computer architecture and SoC design
• Strong technical writing and communication skills
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.